{
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Java八大基本类型及包装类\n",
    "|序号|基本类型|默认值|位数/字节大小|包装类|类型|\n",
    "|:---|:---|:---|:---|:---|:---|\n",
    "|1|byte| 0|8b/1B| Byte |整型|\n",
    "|2|short| 0|16/2B| Short|整型|\n",
    "|3|int | 0|32b/4B| Integer|整型|\n",
    "|4|long| 0L|64b/8B| Long |整型|\n",
    "|5|float| 0.0f/F |32b/4B|Float|浮点型|\n",
    "|6|double| 0.0d/D|64b/8B| Double|浮点型|\n",
    "|7|char|'u0000'/空|16b/2B|Character|字符型|\n",
    "|8|boolean|false|8b/1B|Boolean|布尔型|\n",
    "| --- | --- | --- | --- | --- | --- |\n",
    "| | |null| |Object|\n",
    "| | |null| |Number|\n",
    "| | |null| |String|\n",
    "| |void| | |Void| |\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 基本类型的好处\n",
    "在Java语言中，new一个对象是存储在堆里的，我们通过栈中的引用来使用这些对象；所以，对象本身来说是比较消耗资源的。\n",
    "\n",
    "对于经常用到的类型，如int等，如果我们每次使用这种变量的时候都需要new一个Java对象的话，就会比较笨重。\n",
    "\n",
    "所以，和C++一样，Java提供了基本数据类型，这种数据的变量不需要使用new创建，他们不会在堆上创建，而是直接在栈内存中存储，因此会更加高效。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 类型默认值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Bool :false\n",
      "Byte :0\n",
      "Character:\u0000\n",
      "Double :0.0\n",
      "Float :0.0\n",
      "Integer :0\n",
      "Long :0\n",
      "Short :0\n",
      "String :null\n"
     ]
    }
   ],
   "source": [
    "static boolean bool;\n",
    "static byte by;\n",
    "static char ch;\n",
    "static double d;\n",
    "static float f;\n",
    "static int i;\n",
    "static long l;\n",
    "static short sh;\n",
    "static String str;\n",
    "\n",
    "System.out.println(\"Bool :\" + bool);\n",
    "System.out.println(\"Byte :\" + by);\n",
    "System.out.println(\"Character:\" + ch);\n",
    "System.out.println(\"Double :\" + d);\n",
    "System.out.println(\"Float :\" + f);\n",
    "System.out.println(\"Integer :\" + i);\n",
    "System.out.println(\"Long :\" + l);\n",
    "System.out.println(\"Short :\" + sh);\n",
    "System.out.println(\"String :\" + str);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 类型基本信息：大小，最大、最小值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "基本类型：byte 二进制位数：8\n",
      "包装类：java.lang.Byte\n",
      "最小值：Byte.MIN_VALUE=-128\n",
      "最大值：Byte.MAX_VALUE=127\n",
      "\n",
      "基本类型：short 二进制位数：16\n",
      "包装类：java.lang.Short\n",
      "最小值：Short.MIN_VALUE=-32768\n",
      "最大值：Short.MAX_VALUE=32767\n",
      "\n",
      "基本类型：int 二进制位数：32\n",
      "包装类：java.lang.Integer\n",
      "最小值：Integer.MIN_VALUE=-2147483648\n",
      "最大值：Integer.MAX_VALUE=2147483647\n",
      "\n",
      "基本类型：long 二进制位数：64\n",
      "包装类：java.lang.Long\n",
      "最小值：Long.MIN_VALUE=-9223372036854775808\n",
      "最大值：Long.MAX_VALUE=9223372036854775807\n",
      "\n",
      "基本类型：float 二进制位数：32\n",
      "包装类：java.lang.Float\n",
      "最小值：Float.MIN_VALUE=1.4E-45\n",
      "最大值：Float.MAX_VALUE=3.4028235E38\n",
      "\n",
      "基本类型：double 二进制位数：64\n",
      "包装类：java.lang.Double\n",
      "最小值：Double.MIN_VALUE=4.9E-324\n",
      "最大值：Double.MAX_VALUE=1.7976931348623157E308\n",
      "\n",
      "基本类型：char 二进制位数：16\n",
      "包装类：java.lang.Character\n",
      "最小值：Character.MIN_VALUE=0\n",
      "最大值：Character.MAX_VALUE=65535\n"
     ]
    }
   ],
   "source": [
    "// byte  \n",
    "System.out.println(\"基本类型：byte 二进制位数：\" + Byte.SIZE);  \n",
    "System.out.println(\"包装类：java.lang.Byte\");  \n",
    "System.out.println(\"最小值：Byte.MIN_VALUE=\" + Byte.MIN_VALUE);  \n",
    "System.out.println(\"最大值：Byte.MAX_VALUE=\" + Byte.MAX_VALUE);  \n",
    "System.out.println();  \n",
    "\n",
    "// short  \n",
    "System.out.println(\"基本类型：short 二进制位数：\" + Short.SIZE);  \n",
    "System.out.println(\"包装类：java.lang.Short\");  \n",
    "System.out.println(\"最小值：Short.MIN_VALUE=\" + Short.MIN_VALUE);  \n",
    "System.out.println(\"最大值：Short.MAX_VALUE=\" + Short.MAX_VALUE);  \n",
    "System.out.println();  \n",
    "\n",
    "// int  \n",
    "System.out.println(\"基本类型：int 二进制位数：\" + Integer.SIZE);  \n",
    "System.out.println(\"包装类：java.lang.Integer\");  \n",
    "System.out.println(\"最小值：Integer.MIN_VALUE=\" + Integer.MIN_VALUE);  \n",
    "System.out.println(\"最大值：Integer.MAX_VALUE=\" + Integer.MAX_VALUE);  \n",
    "System.out.println();  \n",
    "\n",
    "// long  \n",
    "System.out.println(\"基本类型：long 二进制位数：\" + Long.SIZE);  \n",
    "System.out.println(\"包装类：java.lang.Long\");  \n",
    "System.out.println(\"最小值：Long.MIN_VALUE=\" + Long.MIN_VALUE);  \n",
    "System.out.println(\"最大值：Long.MAX_VALUE=\" + Long.MAX_VALUE);  \n",
    "System.out.println();  \n",
    "\n",
    "// float  \n",
    "System.out.println(\"基本类型：float 二进制位数：\" + Float.SIZE);  \n",
    "System.out.println(\"包装类：java.lang.Float\");  \n",
    "System.out.println(\"最小值：Float.MIN_VALUE=\" + Float.MIN_VALUE);  \n",
    "System.out.println(\"最大值：Float.MAX_VALUE=\" + Float.MAX_VALUE);  \n",
    "System.out.println();  \n",
    "\n",
    "// double  \n",
    "System.out.println(\"基本类型：double 二进制位数：\" + Double.SIZE);  \n",
    "System.out.println(\"包装类：java.lang.Double\");  \n",
    "System.out.println(\"最小值：Double.MIN_VALUE=\" + Double.MIN_VALUE);  \n",
    "System.out.println(\"最大值：Double.MAX_VALUE=\" + Double.MAX_VALUE);  \n",
    "System.out.println();  \n",
    "\n",
    "// char  \n",
    "System.out.println(\"基本类型：char 二进制位数：\" + Character.SIZE);  \n",
    "System.out.println(\"包装类：java.lang.Character\");  \n",
    "// 以数值形式而不是字符形式将Character.MIN_VALUE输出到控制台  \n",
    "System.out.println(\"最小值：Character.MIN_VALUE=\"  \n",
    "        + (int) Character.MIN_VALUE);  \n",
    "// 以数值形式而不是字符形式将Character.MAX_VALUE输出到控制台  \n",
    "System.out.println(\"最大值：Character.MAX_VALUE=\"  \n",
    "        + (int) Character.MAX_VALUE); "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 溢出\n",
    "每个类型都有一定的表示范围，但是，在程序中有些计算会导致超出表示范围，即溢出。\n",
    "\n",
    "**发生了溢出，溢出的时候并不会抛异常，也没有任何提示**。所以，在程序中，使用同类型的数据进行运算的时候，**一定要注意数据溢出的问题。**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 类型转换"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**整型、实型（常量）、字符型数据可以混合运算。运算中，不同类型的数据先转化为同一类型，然后进行运算。**\n",
    "\n",
    "转换从低级到高级\n",
    "`byte,short,char—> int —> long—> float —> double `\n",
    "\n",
    "数据类型转换必须满足如下规则：\n",
    "1. 不能对boolean类型进行类型转换。\n",
    "2. 不能把对象类型转换成不相关类的对象。\n",
    "3. 在把容量大的类型转换为容量小的类型时必须使用强制类型转换。\n",
    "4. 转换过程中可能导致溢出或损失精度。\n",
    "5. 浮点数到整数的转换是通过舍弃小数得到，而不是四舍五入。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 自动类型转换"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "char自动类型转换为int后的值等于97\n",
      "char类型和int计算后的值等于66\n"
     ]
    }
   ],
   "source": [
    "char c1='a';//定义一个char类型\n",
    "int i1 = c1;//char自动类型转换为int\n",
    "System.out.println(\"char自动类型转换为int后的值等于\"+i1);\n",
    "char c2 = 'A';//定义一个char类型\n",
    "int i2 = c2+1;//char 类型和 int 类型计算\n",
    "System.out.println(\"char类型和int计算后的值等于\"+i2);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 强制类型转换\n",
    "1. 条件是转换的数据类型必须是兼容的。\n",
    "2. 格式：`(type)value` type是要强制类型转换后的数据类型。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "int强制类型转换为byte后的值等于123\n"
     ]
    }
   ],
   "source": [
    "int i1 = 123;\n",
    "byte b = (byte)i1;//强制类型转换为byte\n",
    "System.out.println(\"int强制类型转换为byte后的值等于\"+b);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 隐含强制类型转换\n",
    "1. 整数的默认类型是 int。\n",
    "2. 浮点型不存在这种情况，因为在定义 float 类型时必须在数字后面跟上 F 或者 f。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 补充：Date类与其它数据类型的相互转换\n",
    "整型和Date类之间并不存在直接的对应关系，只是你可以使用int型为分别表示年、月、日、时、分、秒，这样就在两者之间建立了一个对应关系，在作这种转换时，你可以使用Date类构造函数的三种形式：\n",
    "\n",
    "- Date(int year, int month, int date)：以int型表示年、月、日\n",
    "- Date(int year, int month, int date, int hrs, int min)：以int型表示年、月、日、时、分\n",
    "- Date(int year, int month, int date, int hrs, int min, int sec)：以int型表示年、月、日、时、分、秒\n",
    "\n",
    "在长整型和Date类之间有一个很有趣的对应关系，就是将一个时间表示为距离格林尼治标准时间1970年1月1日0时0分0秒的毫秒数。对于这种对应关系，Date类也有其相应的构造函数：Date(long date)。\n",
    "\n",
    "获取Date类中的年、月、日、时、分、秒以及星期你可以使用Date类的getYear()、getMonth()、getDate()、getHours()、getMinutes()、getSeconds()、getDay()方法，你也可以将其理解为将Date类转换成int。\n",
    "\n",
    "而Date类的getTime()方法可以得到我们前面所说的一个时间对应的长整型数，与包装类一样，Date类也有一个toString()方法可以将其转换为String类。\n",
    "\n",
    "\n",
    "有时我们希望得到Date的特定格式，例如20020324，我们可以使用以下方法，首先在文件开始引入："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20200817\n",
      "2020\n",
      "08\n",
      "17\n"
     ]
    }
   ],
   "source": [
    "import java.text.SimpleDateFormat;\n",
    "import java.util.Date;\n",
    "\n",
    "Date date = new Date();\n",
    "//如果希望得到YYYYMMDD的格式\n",
    "SimpleDateFormat sy1 = new SimpleDateFormat(\"yyyyMMdd\");\n",
    "String dateFormat = sy1.format(date);\n",
    "// output\n",
    "System.out.println(dateFormat);\n",
    "\n",
    "//如果希望分开得到年，月，日\n",
    "SimpleDateFormat sy = new SimpleDateFormat(\"yyyy\");\n",
    "SimpleDateFormat sm = new SimpleDateFormat(\"MM\");\n",
    "SimpleDateFormat sd = new SimpleDateFormat(\"dd\");\n",
    "String syear = sy.format(date);\n",
    "String smon = sm.format(date);\n",
    "String sday = sd.format(date);\n",
    "\n",
    "// output\n",
    "System.out.println(syear);\n",
    "System.out.println(smon);\n",
    "System.out.println(sday);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 总结\n",
    "在java的世界里，如果比int类型小的类型做运算，java在编译的时候就会将它们统一强转成int类型。当是比int类型大的类型做运算，就会自动转换成它们中最大类型那个。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "a\n"
     ]
    }
   ],
   "source": [
    "Character ch = new Character('a');\n",
    "System.out.println(ch);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "true\n",
      "false\n"
     ]
    }
   ],
   "source": [
    "Boolean bl = new Boolean(false);\n",
    "bl = true;\n",
    "System.out.println(bl);\n",
    "\n",
    "boolean bl_;\n",
    "System.out.println(bl_);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "anlzou\n"
     ]
    }
   ],
   "source": [
    "String a = \"anlzou\";\n",
    "System.out.println(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "null\n"
     ]
    }
   ],
   "source": [
    "Object o;\n",
    "System.out.println(o);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "null\n"
     ]
    }
   ],
   "source": [
    "Number num;\n",
    "System.out.println(num);"
   ]
  }
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